Machine Learning Engineer (Gen AI)
Core
Build, deploy, and maintain production-grade AI/ML solutions (GenAI, agentic workflows, traditional ML, computer vision) for Fortune 500 enterprise clients on Google Cloud Platform.
Role type
Senior Machine Learning Engineer (Gen AI)
Builds
Production ML systems, agentic workflows, knowledge graph solutions, and client-facing AI applications
Domain
Enterprise software, Generative AI, Cloud Infrastructure
Deliverable
production ML models
Required skills
Python, API design, containerization, MLOps, prompt engineering, statistical modeling, feature engineering, model versioning, A/B testing
Preferred skills
Google Cloud Professional Machine Learning Engineer certification
Technologies
Google Cloud Platform (Vertex AI, BigQuery, Cloud Run), RAG, vector embeddings, multi-agent orchestration frameworks
Responsibilities
Design and implement generative AI applications including RAG systems and agentic workflows; Build production computer vision systems for document understanding and image analysis; Own the complete ML lifecycle including CI/CD pipelines and model monitoring; Architect knowledge graph and semantic search solutions; Present technical solutions to clients and collaborate with cross-functional teams
Seniority
Senior, hands-on IC
